Investigation of a Low-Speed High-Torque-Density Direct-Drive External-Rotor PMSM for Belt Conveyor Application

Song, Yongda; Liu, Guangwei; Yu, Siyang; Wang, Hao; Zhang, Fengge

doi:10.1109/access.2023.3318724

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…[5] took the optimal pole-arc combination with the lowest cogging torque as the starting point and explored the feasibility of reducing cogging torque. [6] compared the differences between integer-slot and fractional-slot windings for an outer-rotor permanent magnet synchronous motor, and investigated the selection rules for pole-slot combinations. [7] compared and analyzed the performance of permanent magnet synchronous motors with different pole-slot ratios, providing results for torque ripple and cogging torque under various pole-slot combinations.…”

Section: Introductionmentioning

confidence: 99%

Torque Optimization Strategy for Outer Rotor Permanent Magnet Brushless DC Motor based on Metamodel and CRITIC-TOPSIS Method

Ye,

Zeng,

Sun

et al. 2024

Preprint

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A metamodel-based torque optimization strategy is proposed for the efficient design and electromagnetic performance optimization of outer rotor permanent magnet brushless DC motors (ORPMBLDCM), which is based on the dimensionality reduction and generalization principles in statistical modeling theory. The strategy combines Criteria Importance through Intercrieria Correlation and Technology for Order Preference by Similarity to an Ideal Solution (CRITIC-TOPSIS) theory. A parameterized two-dimensional finite element calculation model is established using a 10-pole 12-slot ORPMBLDCM as an example. The optimization objectives are set to be the low cogging torque, low torque ripple, and high average electromagnetic torque. The actual model is approximated using coefficient of prognosis and the constructed optimal prediction metamodel, based on variance-based sensitivity analysis. Multi-objective evolutionary algorithms are used to optimize the objectives and obtain the Pareto optimal solution set. Finally, the CRITIC-TOPSIS method is used to globally rank the feasible solution set and determine the optimal structural dimension parameters. The results of the finite element analysis demonstrate a 77.9\% reduction in cogging torque, a 18.5\% improvement in average electromagnetic torque, and a 14.5\% reduction in torque ripple. The effectiveness of torque optimization strategy using metamodel and CRITIC-TOPSIS method in improving the performance of ORPMBLDCM has been validated. The presented torque optimization strategy can guide the design of brushless DC motors.

show abstract

Section: Introductionmentioning

confidence: 99%

Torque Optimization Strategy for Outer Rotor Permanent Magnet Brushless DC Motor based on Metamodel and CRITIC-TOPSIS Method

Ye,

Zeng,

Sun

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The results show that the overall performance of the 32P132S true fractional slot is better. The harmonic distortion rate of the no-load back EMF of the motor under the three pole-slot ratios of 32P48S, 40P48S and 42P54S was compared, and it was found that the waveform of 40P48S was more sinusoidal [14]. However, it is not enough to compare the no-load back EMF only.…”

Section: Introductionmentioning

confidence: 99%

An Investigation into the Pole–Slot Ratio and Optimization of a Low-Speed and High-Torque Permanent Magnet Motor

Liu,

Zhang,

2024

Applied Sciences

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At present, low-speed high-torque permanent magnet motors are widely used in the sampling industry, manufacturing industry and energy industry. However, the research on low-speed high-torque permanent magnet motors is far from enough. The primary difficulty in the initial design of low-speed high-torque permanent magnet motors is the selection of pole–slot ratio. The pole–slot ratio has a great influence on the electromagnetic performance such as torque ripple and the maximum output torque of low-speed motors. Choosing the appropriate pole–slot ratio scheme can make the design of a low-speed motor more efficient. In addition, the optimization design of the motor is also a necessary process. At present, there are many studies on optimization algorithms. However, the research on sample point sampling and surrogate model fitting is not enough. Choosing the appropriate sample point sampling method and surrogate model fitting method can help one obtain a more accurate surrogate model, which lays a foundation for the optimization of the motor. Based on the above analysis, this paper first selects four representative pole–slot ratio schemes for comprehensive comparison of their electromagnetic performances. Secondly, two sample point sampling methods and three surrogate model fitting methods are combined to obtain six surrogate models, and the accuracy of the six surrogate models is compared and analyzed. Finally, a 37kW,160rpm prototype is made, and the comparison of the surrogate model optimization prediction results, the finite element simulation calculation results and the measured results is carried out to further prove the accuracy of the selected surrogate model. The work performed in this paper provides a certain reference value for the initial design and optimization experiment design of low-speed high-torque permanent magnet motor.

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Torque optimization strategy for outer rotor permanent magnet brushless DC motor based on metamodel and CRITIC–TOPSIS method

Ye,

Zeng,

Sun

et al. 2024

Electr Eng

View full text Add to dashboard Cite

A metamodel-based torque optimization strategy is proposed for the efficient design and electromagnetic performance optimization of outer rotor permanent magnet brushless DC motors (ORPMBLDCM), which is based on the dimensionality reduction and generalization principles in statistical modeling theory. The strategy combines Criteria Importance through Intercrieria Correlation and Technology for Order Preference by Similarity to an Ideal Solution (CRITIC-TOPSIS) theory. A parameterized two-dimensional finite element calculation model is established using a 10-pole 12-slot ORPMBLDCM as an example. The optimization objectives are set to be the low cogging torque, low torque ripple, and high average electromagnetic torque. The actual model is approximated using coefficient of prognosis and the constructed optimal prediction metamodel, based on variance-based sensitivity analysis. Multi-objective evolutionary algorithms are used to optimize the objectives and obtain the Pareto optimal solution set. Finally, the CRITIC-TOPSIS method is used to globally rank the feasible solution set and determine the optimal structural dimension parameters. The results of the finite element analysis demonstrate a 77.9% reduction in cogging torque, a 18.5% improvement in average electromagnetic torque, and a 14.5% reduction in torque ripple. The effectiveness of torque optimization strategy using metamodel and CRITIC-TOPSIS method in improving the performance of ORPMBLDCM has been validated. The presented torque optimization strategy can guide the design of brushless DC motors.

show abstract

Investigation of a Low-Speed High-Torque-Density Direct-Drive External-Rotor PMSM for Belt Conveyor Application

Cited by 5 publications

References 25 publications

Torque Optimization Strategy for Outer Rotor Permanent Magnet Brushless DC Motor based on Metamodel and CRITIC-TOPSIS Method

Torque Optimization Strategy for Outer Rotor Permanent Magnet Brushless DC Motor based on Metamodel and CRITIC-TOPSIS Method

An Investigation into the Pole–Slot Ratio and Optimization of a Low-Speed and High-Torque Permanent Magnet Motor

Torque optimization strategy for outer rotor permanent magnet brushless DC motor based on metamodel and CRITIC–TOPSIS method

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